Publications related to Dirichlet-multinomial distribution

Discovering Tonal Profiles with Latent Dirichlet Allocation

Martin Alois Rohrmeier, Fabian Claude Moss

Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches r ...

2021

Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music

Martin Alois Rohrmeier, Fabian Claude Moss, Daniel Harasim

Tonality is one of the most central theoretical concepts for the analysis of Western classical music. This study presents a novel approach for the study of its historical development, exploring in particular the concept of mode. Based on a large dataset of ...

SPRINGERNATURE2021

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

Sylvain Calinon, Julius Maximilian Jankowski, Emmanuel Pignat, Teguh Santoso Lembono

In high dimensional robotic system, the manifold of the valid configuration space often has a complex shape, especially under constraints such as end-effector orientation or static stability. We propose a generative adversarial network approach to learn th ...

IEEE2021

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

In this work, the probability of an event under some joint distribution is bounded by measuring it with the product of the marginals instead (which is typically easier to analyze) together with a measure of the dependence between the two random variables. ...

2021

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

This paper i) compares parametric and semi-parametric representations of unobserved heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer distributions of willingness to pay for features of shared automated vehicle (SAV ...

2020

Learning Urban Nightlife Routines from Mobile Data

Daniel Gatica-Perez, Thanh Trung Phan

The use of smartphone sensing for public health studies is appealing to understand routines. We present an approach to learn nightlife routines in a smartphone sensing dataset volunteered by 184 young people (1586 weekend nights with location data captured ...

ACM2020

Shapes of rotating normal fluid He-3 versus superfluid He-4 droplets in molecular beams

Christoph Bostedt, Andre Al Haddad

Previous single-pulse extreme ultraviolet and x-ray coherent diffraction studies revealed that superfluid He-4 droplets obtained in a free jet expansion acquire sizable angular momentum, resulting in significant centrifugal distortion. Similar experiments ...

AMER PHYSICAL SOC2020

Robust Generalization via f−Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

Given two probability measures P and Q and an event E, we provide bounds on P(E) in terms of Q(E) and f-divergences. In particular, the bounds are instantiated when the measures considered are a joint distribution and the corresponding product of marginals ...

IEEE2020

Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

Inference on the Angular Distribution of Extremes

Claudio Andri Semadeni

The spectral distribution plays a key role in the statistical modelling of multivariate extremes, as it defines the dependence structure of multivariate extreme-value distributions and characterizes the limiting distribution of the relative sizes of the co ...

EPFL2020

Dirichlet-multinomial distribution

Graph Chatbot

Chat with Graph Search

Discovering Tonal Profiles with Latent Dirichlet Allocation

Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Learning Urban Nightlife Routines from Mobile Data

Shapes of rotating normal fluid He-3 versus superfluid He-4 droplets in molecular beams

Robust Generalization via f−Mutual Information

Robust Generalization via $\alpha$-Mutual Information

Inference on the Angular Distribution of Extremes

Discovering Tonal Profiles with Latent Dirichlet Allocation

Learning Urban Nightlife Routines from Mobile Data

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Inference on the Angular Distribution of Extremes

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

Robust Generalization via $\alpha$-Mutual Information

Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music

Robust Generalization via f−Mutual Information

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Shapes of rotating normal fluid He-3 versus superfluid He-4 droplets in molecular beams